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Data_​Mining_​Project

Gini_Index predictor
Decision Tree Predictor
Naive Bayes Predictor
queued
MultiLayerPerceptron Predictor
Scorer
queued
X-Aggregator
Gain_Ratio appliedMDL Pruning
Decision Tree Learner
Gini_Index
Decision Tree Learner
queued
Scorer
Color Manager
ANN model
RProp MLP Learner
Rule Engine
Encoding for categorical and binary data
Category to Number
Decision Tree Predictor
Decision Tree Predictor
Scorer
Rule Engine
Column Filter
MultiLayerPerceptron Predictor
Category to Number (Apply)
Column Filter
cleaning the dataremoving the "." in income values
String Manipulation
ROC Curve (JavaScript)
Lift Chart (legacy)
Lift Chart (JavaScript)
handling missing encoded value
Missing Value
Training_Data
CSV Reader
Min-max normalization on age, fnlwgt, education-lvl,capital-gain, capital-loss, hours-per-week attr.
Normalizer
Test_Data
CSV Reader
Concatenate
SVM Predictor
Joiner
Scorer
SVM Learner
ROC Curve (JavaScript)
Binary Classification Inspector
Scorer
ROC Curve (JavaScript)
X-Partitioner
Category to Number (Apply)
Normalizer (Apply)
Partition stratified 80% training20% test
Partitioning
SVM Learner
Column Filter
handling missing encoded value
Missing Value
Naive Bayes Learner
Naive Bayes Predictor
Gini_Index
Decision Tree Learner
Scorer
queued
SVM Predictor
Normalizer (Apply)
RProp MLP Learner
Handling missing values
Row Filter
Naive Bayes Learner
Decision Tree to Image
Gini_Index appliedMDL Pruning
Decision Tree Learner
Decision Tree Predictor

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Hamom
Created at: 2024-12-19
On NodePit since: 2025-01-01
Last update: 2026-11-12
Created with KNIME version: v5.4.0

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